Engineering Manager, Competitive Data Platform Job at Uber (Sunnyvale)

Vendor Data Manager

The Vendor Data Manager is a strategic and cross-functional leader, responsible ...

Location

United Kingdom , Birmingham, Bristol, Dublin, Glasgow, Leeds, London, Manchester, Marlow, Newcastle

Salary:

Not provided

Softcat

Expiration Date

Until further notice

Requirements

Strong understanding of data analytics, data engineering, and machine learning concepts
Strong understanding of data governance and data quality
Knowledge of how data integration and ETL works
Solid understanding of data security and compliance or the ability to learn this
Knowledge or experience of MS Purview, CluedIn and PowerBI would be beneficial
Familiarity with agile methodologies, product road mapping, and user-centred design
Attention to detail
Experience managing data-centric products or platforms
Problem Solving and Analytical Thinking
Knowledge of Softcat's Vendor landscape or a similar company would be advantageous

Job Responsibility

Working with the Head of Business Partnering to develop a clear roadmap for data products aligned with business goals and user needs
Conduct market research and competitive analysis to identify opportunities for improvements to Softcat's vendor data
Master Data Management (MDM): Responsible for creating and maintaining a single, consistent and accurate source of truth for Softcat's critical vendor data
Data Quality Management: Responsible for the process of ensuring data is accurate, complete, consistent and timely
Responsible for implementing and managing security measures to protect sensitive data from unauthorised access, breaches and cyberattacks
Work with the data leadership team to create and maintain a comprehensive data strategy for vendor data that aligns with Softcat's business goals

What we offer

Pension
Share incentive plan
Life Assurance
Healthcare
Holiday
Trips
Vouchers
Partner/family Benefits
Perklife
Maternity, Paternity and Adoption support

Fulltime

Senior Manager, Product Management Data and Analytics AdTech

We are seeking a Senior Manager, Product Management (Data & Analytics) to lead o...

Location

United States , Bellevue

Salary:

151700.00 - 273700.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree Computer Science, Engineering, or Information Technology
Master's/Advanced Degree Business Administration or Technology Management
4-7 years experience in product management experience, including at least 3+ years in a leadership or mentorship capacity
Strong SQL skills
demonstrated experience integrating machine learning or predictive modeling into product strategies
Proven success leading small product teams, driving alignment, and encouraging teamwork across cross-functional groups
Ability to frame business problems in analytical terms and translate insights into actionable product features
Familiarity with ad tech identity solutions (MAIDs, cookies, IDFVs), privacy regulations (GDPR, CCPA), and data governance
Capable of articulating sophisticated technical concepts to diverse audiences, including executives, engineers, and clients
Track record of delivering products

Job Responsibility

Platform Data Product Strategy & Vision Define and execute the platform data and analytics roadmap
Hands-on Technical Execution Use SQL and other data analysis tools to investigate product performance
Team Leadership & Development Lead, mentor, and develop a small team of product managers or analysts
Machine Learning Integration Collaborate with data science teams to embed ML models into product offering
Cross-Functional Collaboration Work closely with engineering, data science, sales, and marketing to align on product goals
Data-Driven Decision-Making Leverage product metrics, user feedback, and analytics to inform decisions
Client & Stakeholder Engagement Gather and prioritize feedback from internal and external stakeholders
Market & Competitive Analysis Stay informed on emerging industry trends, technologies, and competitor strategies
Ownership of Full Product Lifecycle Oversee products from ideation through launch and ongoing optimization
Compliance & Privacy Collaborate with legal and compliance teams to design privacy-first product features

What we offer

medical, dental and vision insurance
flexible spending account
401(k)
employee stock grants
employee stock purchase plan
paid time off
up to 12 paid holidays
paid parental and family leave
family building benefits
back-up care

Fulltime

Principal Product Manager – Network as a Service, NaaS - Platforms

The Network as a Service (NaaS) team at T-Mobile is an emerging business unit fo...

Location

United States , Bellevue

Salary:

133800.00 - 241400.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Deep expertise in platform product management, including API-driven and cloud-based platforms
Strong business acumen, aligning platform vision with enterprise strategy and customer needs
Experience managing cross-product platform capabilities, ensuring scalability, security, and efficiency
System thinking, with an ability to break down complex technical systems into modular and reusable components
Proven leadership, coaching, and mentoring skills, fostering a growth mindset across teams
Exceptional communication and influence, engaging senior executives and cross-functional stakeholders
Strong technical program management expertise, with experience managing end-to-end delivery of complex platform solutions
Bachelor's Degree in Engineering, Business, or related field
10+ years of Product Management experience, ideally in network services, platforms, or enterprise SaaS
Proven track record of owning and scaling enterprise platform products

Job Responsibility

Define and own NaaS platform vision, strategy, and roadmap, ensuring alignment with business, technical, and product needs
Partner with product managers to translate individual product requirements into scalable, reusable platform capabilities
Apply system thinking to design robust, scalable, and modular platform solutions that serve multiple use cases
Conduct competitive analysis and industry research to ensure platform innovation and technical differentiation
Secure funding for platform initiatives, building strong business cases and conducting ROI analysis
Lead end-to-end execution, including defining platform scope, managing roadmaps, and ensuring seamless integration across NaaS products
Work closely with engineering, architecture, and DevOps teams to deliver secure, scalable, and high-performing platform solutions
Own and prioritize the platform product backlog, balancing feature development, technical debt, and business priorities
Ensure compliance with security, data privacy, and regulatory standards across NaaS platform solutions
Drive technical program management efforts, ensuring efficient execution, risk mitigation, and dependency management

What we offer

Competitive base salary and compensation package
Annual stock grant
Employee stock purchase plan
401(k)
Access to free, year-round money coaches
Medical, dental and vision insurance
Flexible spending account
Paid time off
Up to 12 paid holidays
Paid parental and family leave

Fulltime

Data Sciences Assistant Manager

The role involves designing and managing BI solutions, integrating data from var...

Location

India , Noida

Salary:

Not provided

Sopra Steria

Expiration Date

Until further notice

Requirements

Bachelor’s/Master’s degree in Computer Science, Data Science, Business Analytics, or a related technical field
6+ years of experience in Business Intelligence, Data Engineering, or Cloud Data Analytics
Proficiency in SQL, Python, or data wrangling languages
Deep knowledge of BI tools like Power BI, Tableau, or QlikView
Strong data modeling, ETL, and data governance capabilities

Job Responsibility

Design, build, and manage end-to-end Business Intelligence solutions, integrating structured and unstructured data from internal and external sources
Architect and maintain scalable data pipelines using cloud-native services (e.g., AWS, Azure, GCP)
Implement ETL/ELT processes to ensure data quality, transformation, and availability for analytics and reporting
Support the Market Intelligence team by building dashboards, visualizations, and data models that reflect competitive, market, and customer insights
Work with research analysts to convert qualitative insights into measurable datasets
Drive the automation of insight delivery, enabling real-time or near real-time updates
Design interactive dashboards and executive-level visual reports using tools such as Power BI, or Tableau
Maintain data storytelling standards to deliver clear, compelling narratives aligned with strategic objectives
Act as a key liaison between business users, strategy teams, research analysts, and IT/cloud engineering
Translate analytical and research needs into scalable, sustainable BI solutions

What we offer

Commitment to fighting against all forms of discrimination
Inclusive and respectful work environment
Positions open to people with disabilities

Fulltime

Product Manager, AI Data Pipelines & Developer Community

As a Product Manager for AI Data Pipelines & Developer Community, you will be in...

Location

United States , Campbell

Salary:

Not provided

Komprise, Inc.

Expiration Date

Until further notice

Requirements

Proven experience in product management, particularly with a focus on data and AI-driven products
Strong understanding of technical data architectures, machine learning models, and AI applications in a business context
Demonstrated success in growing technical product adoption and developer communities
Experience working with large datasets, data pipelines, and data platforms
Excellent communication and interpersonal skills, with the ability to convey complex ideas to both technical and non-technical audiences
Proven ability to think strategically and execute methodically, translating complex problems into actionable solutions
A Bachelor’s degree in Computer Science, Data Science, Business, or a related field is preferred

Job Responsibility

Define and Drive Product Strategy: Develop and communicate a clear vision and roadmap for the AI data pipeline platform and associated developer tools, ensuring alignment with business goals and market needs
Build and Optimize AI Data Pipelines: Work closely with our product team and IT, end-users, data engineers and data scientists from our customers to build, optimize, and maintain scalable data pipelines that allow them to enrich, classify, curate data for AI agents for augmentation and inferencing
Translate User Needs into Product Requirements: Gather and prioritize user requirements, translating them into detailed product specifications and coordinating development efforts with engineering and data science teams
Champion Developer Experience: Understand the needs of the developer community, both internal and external, and develop tools, resources, and programs that enhance their experience building with our AI data platform. Investigate participation in partner developer communities and open-source communities
Grow and Engage the Developer Community: Lead efforts to foster a vibrant developer community, potentially through events, forums, technical content, and strategic outreach
Measure and Analyze Product Performance: Define and track key metrics to measure the success and impact of both the AI data platform and community engagement efforts, using data-driven insights to iterate and improve
Cross-Functional Collaboration: Partner effectively with cross-functional teams, including engineering, marketing, sales, and customer success, to ensure product vision alignment and drive successful execution
Stay Ahead of the Curve: Monitor industry trends, emerging technologies, and competitive offerings related to AI, data infrastructure, and developer ecosystems

Director of Engineering, Data Path Development

We are seeking a seasoned Director of Engineering, Data Path Development to lead...

Location

United States

Salary:

155500.00 - 376000.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Proven experience managing large, distributed engineering teams in storage & embedded systems development, or related field
Demonstrated ability to mentor, evaluate, and lead senior technical teams through complex development challenges and innovation cycles
Exceptional communication and stakeholder management skills, with the ability to collaborate across engineers, architects, and executive teams
Extensive technical experience in a variety of storage technologies such as NVMe, Zstandard, data virtualization, deduplication, compression, multithreading and defragmentation
Proficiency in Embedded C++ and Golang
Familiarity with AMD and Intel platforms
Bachelor’s degree in computer science or similar field
15 or more years of related work experience, including 10 years of people management experience

Job Responsibility

Provide technical oversight and guidance to ensure engineering excellence in areas such as data virtualization, deduplication, compression, and defragmentation
Validate and evaluate technical decisions made by the team to ensure correctness, longevity, and maintainability of solutions
Manage a diverse engineering organization, including multiple managers and a team of approximately 50 engineers
Foster an inclusive, collaborative, and high-performing team culture
Define and lead the architectural planning for next-generation storage platforms, ensuring alignment with emerging technologies and industry trends
Collaborate with senior technologists and stakeholders to maintain HPE’s competitive edge in the storage domain
Explore and implement AI-driven development practices, CI/CD pipelines, and automated code reviews to enhance team efficiency and product quality
Establish scalable processes for effective delivery and continuous learning within the team
Work closely with product management and other stakeholders to align technical objectives with business goals and customer needs
Advocate for customer-centric solutions while responding to evolving market demands

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Sr. Staff ML Platform Engineer

Machine learning is the crucial enabler for every financial service that EarnIn ...

Location

United States , Mountain View

Salary:

360000.00 - 440000.00 USD / Year

EarnIn

Expiration Date

Until further notice

Requirements

Bachelor's or Master’s degree in Computer Science, Engineering, or a related field
8+ years of industry machine learning experience and excellent software engineering skills
Strong programming skills in Python, with familiarity in ML frameworks such as TensorFlow or PyTorch
Experience with ML cloud platforms such as AWS Sagemaker, Databricks, or GCP Vertex AI
Familiarity with data pipelines and workflow management tools
Strong communication and collaboration skills
Passion for learning and staying updated with the latest industry trends in machine learning and platform engineering

Job Responsibility

Design, build, and maintain a robust ML platform and tooling ecosystem that supports the entire machine learning lifecycle, from experimentation to production
Lead and mentor a team of ML engineers, deeply understanding their workflows to streamline model training, deployment, and monitoring, while ensuring reproducibility and consistency of results
Drive scalability, reliability, and cost efficiency of the ML platform, balancing performance with ease of use for scientists and engineers
Evaluate and adopt emerging technologies to continually advance the organization’s machine learning capabilities and maintain a competitive edge
Champion operational excellence, setting a high bar for engineering quality, reliability, and automation
Act as a catalyst for innovation, spearheading step-change improvements that unlock new opportunities for growth and efficiency

What we offer

equity and benefits

Fulltime

Zerto Pre Sales Engineer

This role is responsible for providing technical support and/or leadership in th...

Location

United States

Salary:

146000.00 - 343000.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

At least 5 to 7 years' experience of Pre-Sales Engineering or similar customer facing role, experience preferably in a software or data center environment
Possess a fundamental breadth of technical knowledge in cloud data management, backup and disaster recovery
Exceptional verbal and written communication skills
Self-motivated and a self-starter, comfortable working remotely and autonomously
Strong practical understanding of Datacenter and Cloud architecture (VMWare, Azure, AWS, GCP, etc.)
Thrives in a fast-paced environment
the ability to handling multiple calls/demos per day with immediate follow up
Possess a high level of business acumen and experience working with all levels of decision makers including Cx0 level personnel
Ability to travel 50%
Bachelor's degree required or equivalent experience

Job Responsibility

Deliver the Zerto message and vision including technical architecture presentations and product demonstrations to prospective customers and partners
Conduct live and virtual customer meeting presentations and demonstrations
Support lead generation activities such as events, webinars, user groups, etc.
Lead technical sales calls
Qualify sales opportunities in the terms of customer technical requirements, competition, decision making process and funding
Stay current with continuous education of Zerto's latest software, platforms and cloud solutions
Acts as technical expert to develop and propose solutions that meet the technology and business requirements of customers
Implement and manage POCs to technical closure
Ownership of all pre-sales activities in support of technical evaluation and validation of Zerto solution
Continuously drive and promote value of Zerto solutions to partners and customers

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment
Comprehensive benefits suite supporting physical, financial and emotional wellbeing

Fulltime

Engineering Manager, Competitive Data Platform

Uber

Location:
United States , Sunnyvale

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 25, 2026

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